FLOW — Development & AI automation
AI Automation
Your company's repetitive processes — documents, email, data between systems — automated with AI. Hours recovered every week.
Generative AI made it possible to automate processes that used to require a person: reading a document, understanding a request, writing a sensible reply. In practice this means one thing: hours recovered.
Concrete examples
- Documents: invoices, delivery notes, orders read automatically and entered into the ERP.
- Email: requests classified, routed, with a draft reply already prepared.
- Data between systems: ERP ↔ e-commerce ↔ CRM aligned without manual copy-paste.
- Reports: generated and sent on their own, numbers already commented.
The method
Start with one process — the most expensive one — and automate it end to end, measuring before and after. Automation that works is boring: it runs every day, nobody notices it, and at the end of the month the saved hours add up.
Foundations matter: automations run on systems that must stay up. That’s the advantage of having them built by someone who has administered those systems for twenty years.
The platform already exists
We don’t start from scratch: automations run on BIA, our AI orchestration platform — 30 ready-made modules (databases, ERPs, Excel, e-commerce, email, web, reports) that the AI combines to execute your process. A new automation isn’t a software project: it’s a configuration. Timelines and costs follow.
Frequently asked questions
What kind of processes can be automated?
Repetitive ones with clear rules — sorting and answering email, extracting data from documents and invoices, moving information between ERP and e-commerce, generating reports, classifying requests. If a person does it today by copy-pasting, it can probably be automated.
Does my data end up in AI providers' systems?
It depends on the architecture, and we decide together before starting — there are cloud AI options with contractual data guarantees, or fully local setups when the data is sensitive.
Where do we start?
With one process — the one that hurts most. We automate it, measure the time saved, and only then move to the next. No monster projects.